Articles published in this theme: 25 (scroll down to load remaining articles)
2025
Image Generation of Common Dermatological Diagnoses by Artificial Intelligence: Evaluation Study of the Potential for Education and Training Purposes
JMIR Dermatol 2025 (Dec 16); 8:e72371
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Evaluating Artificial Intelligence Models in Dermatology: Comparative Analysis
JMIR Dermatol 2025 (Dec 04); 8:e74040
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Potential of the World Health Organization’s Skin NTDs App to Support and Improve the Detection of Skin-Related Neglected Tropical Diseases: Protocol for a Performance Evaluation and Feasibility Study in Senegal
JMIR Res Protoc 2025 (Sep 19); 14:e69420
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Use of a Large Language Model as a Dermatology Case Narrator: Exploring the Dynamics of a Chatbot as an Educational Tool in Dermatology
JMIR Dermatol 2025 (Sep 16); 8:e72058
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ChatGPT-4’s Level of Dermatological Knowledge Based on Board Examination Review Questions and Bloom’s Taxonomy
JMIR Dermatol 2025 (Aug 07); 8:e74085
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Harnessing AI and Quantum Computing for Revolutionizing Drug Discovery and Approval Processes: Case Example for Collagen Toxicity
JMIR Bioinform Biotech 2025 (Jul 22); 6:e69800
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Evaluating the Readability of Pediatric Neurocutaneous Syndromes–Related Patient Education Material Created by a Custom GPT With Retrieval Augmentation
JMIR Dermatol 2025 (Jul 16); 8:e59054
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Clinical Management of Wasp Stings Using Large Language Models: Cross-Sectional Evaluation Study
J Med Internet Res 2025 (Jun 04); 27:e67489
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The Importance of Comparing New Technologies (AI) to Existing Tools for Patient Education on Common Dermatologic Conditions: A Commentary
JMIR Dermatol 2025 (Apr 01); 8:e71768
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Authors’ Reply: The Importance of Comparing New Technologies (AI) to Existing Tools for Patient Education on Common Dermatologic Conditions: A Commentary
JMIR Dermatol 2025 (Apr 01); 8:e72540
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Assessing the Diagnostic Accuracy of ChatGPT-4 in Identifying Diverse Skin Lesions Against Squamous and Basal Cell Carcinoma
JMIR Dermatol 2025 (Mar 21); 8:e67299
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The Comparative Sufficiency of ChatGPT, Google Bard, and Bing AI in Answering Diagnosis, Treatment, and Prognosis Questions About Common Dermatological Diagnoses
JMIR Dermatol 2025 (Jan 07); 8:e60827
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2024
Efficacy of ChatGPT in Educating Patients and Clinicians About Skin Toxicities Associated With Cancer Treatment
JMIR Dermatol 2024 (Nov 20); 7:e54919
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AI in Psoriatic Disease: Scoping Review
JMIR Dermatol 2024 (Oct 16); 7:e50451
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Readability of Information Generated by ChatGPT for Hidradenitis Suppurativa
JMIR Dermatol 2024 (Aug 14); 7:e55204
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Claude 3 Opus and ChatGPT With GPT-4 in Dermoscopic Image Analysis for Melanoma Diagnosis: Comparative Performance Analysis
JMIR Med Inform 2024 (Aug 06); 12:e59273
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NVIDIA’s “Chat with RTX” Custom Large Language Model and Personalized AI Chatbot Augments the Value of Electronic Dermatology Reference Material
JMIR Dermatol 2024 (Jul 24); 7:e58396
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Efficacy of an Artificial Intelligence App (Aysa) in Dermatological Diagnosis: Cross-Sectional Analysis
JMIR Dermatol 2024 (Jul 02); 7:e48811
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Assessing the Application of Large Language Models in Generating Dermatologic Patient Education Materials According to Reading Level: Qualitative Study
JMIR Dermatol 2024 (May 16); 7:e55898
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Assessing the Utility of Multimodal Large Language Models (GPT-4 Vision and Large Language and Vision Assistant) in Identifying Melanoma Across Different Skin Tones
JMIR Dermatol 2024 (Mar 13); 7:e55508
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